Detection of Slight Bruises on Apples Based on Hyperspectral Imaging and MNF Transform
ZHANG Bao-hua1, 2, HUANG Wen-qian2, LI Jiang-bo2, ZHAO Chun-jiang1, 2*, LIU Cheng-liang1, HUANG Dan-feng1, GONG Liang1
1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China 2. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Abstract：Bruising is one of the major defects occurring on apple surface inevitably during postharvest handling and processing stage. To detect slight bruises on apples fast and efficiently, a novel bruises detection algorithm based on hyperspectral imaging and minimum noise fraction transform is proposed. First, the hyperspectral images in the visible and near-infrared (400~1 000 nm) ranges are acquired, and MNF transform based on full ranges could obtain better detection performance compared to PCA transform; Second, five wavebands (560, 660, 720, 820 and 960 nm) are selected as the effective wavebands based on the coefficient curve of I-RELIEF method conducted on spectra extracted from intact and bruise surface; Third, the bruises detection algorithm is developed based on the effective wavebands and MNF transform method. For the investigated 40 sound samples and 40 different time stage bruise samples, the results with a 97.1% overall detection rate are got. The recognition results indicate that the proposed methods and the effective wavelengths selected in this paper are feasible and efficient. This research lays a foundation for the development of multispectral imaging system based on MNF transform for slight bruises detection on apples.
张保华1, 2，黄文倩2，李江波2，赵春江1, 2*，刘成良1，黄丹枫1，贡 亮1 . 基于高光谱成像技术和MNF检测苹果的轻微损伤 [J]. 光谱学与光谱分析, 2014, 34(05): 1367-1372.
ZHANG Bao-hua1, 2, HUANG Wen-qian2, LI Jiang-bo2, ZHAO Chun-jiang1, 2*, LIU Cheng-liang1, HUANG Dan-feng1, GONG Liang1. Detection of Slight Bruises on Apples Based on Hyperspectral Imaging and MNF Transform . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(05): 1367-1372.
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